Mastercard and Pitney Bowes: Creating a data-driven business (sponsored by Pitney Bowes)
A data-driven business accelerates innovation, achieves efficiencies and improves the overall customer experience. However, most companies, fail to realize their full potential. Mastercard and Pitney Bowes have overcome many challenges on their journey to accelerate innovation, achieve efficiencies, and improve the overall customer experience. Olga Lagunova and John Derrico share lessons learned as the data strategy evolved and highlight pitfalls and solutions from data science projects across several industries, from finance to cross-border shipping logistics.
- Why machine learning and data science require a next-generation data strategy and the crucial role third-party data plays
- How to maximize the value of data and the ROI of data science projects
- What is data quality? What is the importance of data utility, reliability, lineage, and governance practices? How does the democratization of data science bring more focus on these key topics?
- Competencies and new technical architectures needed to build market-ready data products
This session is sponsored by Pitney Bowes.
What you'll learn
- Explore lessons learned while creating a data-driven business
Olga Lagunova is the chief data and analytics officer for Pitney Bowes, where she enables digital transformation of PB businesses through data engineering and data science. Olga drives the strategy and delivery for PB’s platforms and initiatives across client and user experience, design, big data, analytics, the IoT, SaaS, the cloud, and APIs. Olga has more than 25 years of experience. Previously, she was SVP and distinguished engineer at CA Technologies, where she led global engineering teams with a focus on SaaS, analytics, and mobile application development. Her greatest professional asset is her ability to initiate and deliver new, innovative products while building high‐performing development teams that feel valued and integral to the company’s success.
John Derrico is director of data strategy at Mastercard, where he’s responsible for the enterprise data sourcing strategy, working to create the next generation of products and solutions. John has more than 20 years of experience as a business transformation leader. He’s delivered business intelligence products for startups and fortune 500 clients in clinical, retail, financial, payments, and big data industries and led teams to ideate, build, patent, and support enterprise data products. He worked at Mastercard early in his career before serving in operations, product, sales, and strategic roles with ADP, Medco/Express Scripts, Consumer Reports, and multiple startups. In addition John directed ADP’s data science lab, achieving multiple patents while delivering patentable products to the marketplace. John holds a BA from Fordham University. He’s also a Six Sigma Black belt and a certified snowboard instructor.
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